BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| MOLECULAR BIOLOGY AND GENETICS | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| MBG4057 | Special Topics in Bioinformatics | Spring | 3 | 0 | 3 | 6 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi ELIZABETH HEMOND |
| Course Objectives: | This course aims to discuss technical papers from the recent bioinformatics literature, examine their algorithms and conduct an intensive study on a specific bioinformatics problem. |
Learning Outcomes
|
The students who have succeeded in this course; 1. Define the open research questions in bioinformatics. 2. Discuss current solutions to tackle bioinformatics problems. 3. Develop an ability to discuss open research issues in computational biology. 4. Acquire an understanding of existing bioinformatics solutions for genomics. 5. Acquire an understanding of existing bioinformatics solutions for proteomics. 6. Develop an ability to focus on several bioinformatics articles and present their findings. 7. Obtain a familiarity with emerging topics in bioinformatics. 8. Obtain a familiarity with emerging topics in computational biology. 9. Develop an ability to find, read and discuss scientific articles published in the bioinformatics field. |
Course Content
| This discussion-based bioinformatics course will expose students to the latest developments in bioinformatics analyses and algorithms. |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Genomics (genome sequencing, storage and study of genome information, genome databases) | |
| 2) | Genomics (polymorphism in the human genome and association with diseases) | |
| 3) | Comparative genomics (genome subtraction method, whole-genome alignment methods, genome-context methods, gene-fusion method) | |
| 4) | Structural genomics (the scientific program of structural genomics, target selection in structural genomics) | |
| 5) | Functional genomics (integration of experimental and computational methods) | |
| 6) | Functional genomics (gene-expression data and DNA micro-arrays) | |
| 7) | Functional genomics (regulatory networks, protein-protein interaction networks) | |
| 8) | Proteomics, Protein folding and fold recognition | |
| 9) | Epigenomics | |
| 10) | Cancer informatics | |
| 11) | Non-coding RNA identification and search | |
| 12) | Emerging topics in bioinformatics | |
| 13) | Emerging topics in computational biology | |
| 14) | Presentations |
Sources
| Course Notes / Textbooks: | Haftalık ders notları iletilecektir. Course notes will be supplied. |
| References: | Articles from the primary literature (scientific journals, e.g. Nature Reviews Genetics, Nature, Science, Genome Research, Nature Genetics, Nature Methods, Bioinformatics, Molecular Systems Biology etc.) |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 2 | % 15 |
| Project | 1 | % 25 |
| Midterms | 1 | % 10 |
| Final | 1 | % 50 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 25 | |
| PERCENTAGE OF FINAL WORK | % 75 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 8 | 112 |
| Midterms | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 158 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Utilize the wealth of information stored in computer databases to answer basic biological questions and solve problems such as diagnosis and treatment of diseases. | 4 |
| 2) | Acquire an ability to compile and analyze biological information, clearly present and discuss the conclusions, the inferred knowledge and the arguments behind them both in oral and written format. | 5 |
| 3) | Develop critical, creative and analytical thinking skills. | 5 |
| 4) | Develop effective communication skills and have competence in scientific speaking, reading and writing abilities in English and Turkish. | 5 |
| 5) | Gain knowledge of different techniques and methods used in genetics and acquire the relevant laboratory skills. | 5 |
| 6) | Detect biological problems, learn to make hypothesis and solve the hypothesis by using variety of experimental and observational methods. | 5 |
| 7) | Gain knowledge of methods for collecting quantitative and qualitative data and obtain the related skills. | 2 |
| 8) | Conduct research through paying attention to ethics, human values and rights. Pay special attention to confidentiality of information while working with human subjects. | 5 |
| 9) | Obtain basic concepts used in theory and practices of molecular biology and genetics and establish associations between them. | 4 |
| 10) | Search and use literature to improve himself/herself and follow recent developments in science and technology. | 5 |
| 11) | Be aware of the national and international problems in the field and search for solutions. | 5 |